English

Limit Theorems for One-Dimensional Homogenized Diffusion Processes

Probability 2025-10-23 v2 Statistics Theory Statistics Theory

Abstract

We present two limit theorems, a mean ergodic and a central limit theorem, for a specific class of one-dimensional diffusion processes that depend on a small-scale parameter ε\varepsilon and converge weakly to a homogenized diffusion process in the limit ε0\varepsilon \rightarrow 0. In these results, we allow for the time horizon to blow up such that TεT_\varepsilon \rightarrow \infty as ε0\varepsilon \rightarrow 0. The novelty of the results arises from the circumstance that many quantities are unbounded for ε0\varepsilon \rightarrow 0, so that formerly established theory is not directly applicable here and a careful investigation of all relevant ε\varepsilon-dependent terms is required. As a mathematical application, we then use these limit theorems to prove asymptotic properties of a minimum distance estimator for parameters in a homogenized diffusion equation.

Keywords

Cite

@article{arxiv.2503.06691,
  title  = {Limit Theorems for One-Dimensional Homogenized Diffusion Processes},
  author = {Jaroslav I. Borodavka and Sebastian Krumscheid},
  journal= {arXiv preprint arXiv:2503.06691},
  year   = {2025}
}

Comments

30 pages

R2 v1 2026-06-28T22:13:01.250Z